{"id":"W2502982234","doi":"10.1057/9781137363909_2","title":"Answering the Call: The Formation of the Women’s Land Army","year":2014,"lang":"en","type":"book-chapter","venue":"Palgrave Macmillan UK eBooks","topic":"Historical Gender and Feminism Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Government (linguistics); Economic shortage; Agriculture; Work (physics); Political science; Service (business); Economic growth; Business; Public administration; Engineering; Geography; Marketing; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00943933,0.0005648138,0.000468573,0.001074816,0.0356204,0.01336999,0.001672632,0.009822576,0.01386186],"category_scores_gemma":[0.01522408,0.0008836746,0.0003577196,0.0007987798,0.01825147,0.009786463,0.01578641,0.01587464,0.00406588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006875252,"about_ca_system_score_gemma":0.01395056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02241236,"about_ca_topic_score_gemma":0.05535446,"domain_scores_codex":[0.989139,0.004595516,0.0001958217,0.0006439902,0.001371495,0.00405417],"domain_scores_gemma":[0.990065,0.001668397,0.0004031148,0.0002140036,0.0007502168,0.006899231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000835571,0.00008102826,0.002766572,0.0001452726,0.000008198914,0.001453357,0.4220446,0.0000423094,0.0008844768,0.1015733,0.3990723,0.07184511],"study_design_scores_gemma":[0.0000115985,0.00004428656,0.001512293,0.000156158,0.000001737617,0.0002320642,0.1525993,0.0000366816,0.00007006914,0.007263737,0.8380488,0.00002330779],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.08044252,0.01922674,0.001874286,0.666099,0.02871105,0.000189645,0.00008668887,0.0001505042,0.2032196],"genre_scores_gemma":[0.5965875,0.009060699,0.002127276,0.1159084,0.008313863,0.000292537,0.0001699027,0.0003353637,0.2672044],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0356204,"threshold_uncertainty_score":0.04992056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02521106157461038,"score_gpt":0.2457386940099983,"score_spread":0.2205276324353879,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}